Fundamentals of Statistics

This is an introductory unit in statistical methods with the emphasis on statistical techniques applicable to the social sciences.

 
Level 1 - runs over 5 days
Instructor: 

Imma Guarnieri [BSc, DipEd Grad Dip Applied Science (Social Statistics)] is a sessional lecturer in the Department of Statistics, Data Science and Epidemiology of the Faculty of Health, Arts and Design at Swinburne University of Technology, Melbourne. She has been teaching the Introductory Statistics course to postgraduate students for the last 16 years. She has also been involved in the development of introductory statistics course notes for both undergraduate and postgraduate students and is a guest lecturer for educational institutions.

Course dates: Monday 26 June 2017 - Friday 30 June 2017
Week: 
Week 1
About this course: 

In this course you will obtain a solid foundation in basic statistical concepts and procedures in order to progress with some confidence into more advanced topics. This is an introductory unit in statistical methods with the emphasis on statistical techniques applicable to the social sciences.

Our approach to learning will be largely non-mathematical, concentrating on concepts rather than mathematical theory.

Participants familiar with the use of a package, but lacking statistical training should also start with this course. The statistical package SPSS will be used where appropriate as a teaching tool and computational aid (previous experience is not assumed). You will be able to gain competency in using SPSS to obtain all the graphs and statistics covered in the course.

Course syllabus: 

Day 1

  • Level of measurement of data
  • Introduction to SPSS
  • Descriptive statistics for a single variable including summary statistics, graphs, writing brief summary reports

                     - Histogram, stemplot, boxplot, bar chart, pie chart, frequency tables
                     - Mean, median, mode, std deviation, quartiles, range, outliers

 

Day 2

  • Descriptive statistics for relationships between two variables

                     - Comparative boxplots, scatterplots, introduction to correlation and regression, contingency tables, clustered and stacked bar charts

  • Causation, association, lurking variables,

 

Day 3

  • Foundations of basic inference and confidence intervals.

                    - Normal Distribution, standardization
                    - Sampling distribution of the mean and the proportion

 

Day 4

  • Hypothesis tests, confidence intervals, effect size statistics, testing of assumptions,  report writing and journal article examples for the following

                    - Single proportion, single mean (z-test and one sample t-test)

  • Relationship between confidence intervals and hypothesis test, type 1 and type 2 errors

 

Day 5

  • Hypothesis tests, confidence intervals, effect size statistics, testing of assumptions,  report writing and journal article examples for the following

                    - Paired and Independent samples t-tests, Pearson’s correlation and chi-square

  • Choosing the correct statistical test
Course format: 

This course will take place in a computer lab. All equipment will be provided.

Recommended Background: 

There are no prerequisites for this course, nor is previous computing experience necessary.

 

Recommended Texts: 

The instructor's bound, book length course notes will serve as the course text.
The notes contain detailed explanations and examples of all the statistical concepts covered along with instructions of how to obtain the various graphs and statistics from SPSS.

 

Course Fees:
All courses at a given program have the same fee structure, but fees vary depending on whether your organisation is an ACSPRI Member and whether there are Early Bird Discounts available at the time. The prices for this program are available on the program page.
FAQ: 

Q. Do I have to know any statistics to do this course?

A. No, there are no prerequisties and you don't need any computing experience.

Participant feedback: 

very well balanced. Loved the activity book with step-by-step notes. (Spring 2016)

 

Was great to get the theory then participate in practical activities to consolidate theory. (Winter 2016)

 

I have learnt so many basic concepts that I have been expected to understand. To have the opportunity

to learn them is fantastic. (Winter 2016)

 

Imma’s use of examples to explain concepts was outstanding. Being able to try out techniques after they are discussed was great. (Winter 2015)

 

Instructor was the best I have ever come across. I wish she was talking more courses. (Winter 2015)

 

I found the course to be a good mix of lectures, computer use as well as class interaction. (Summer 2015)

 

Imma is wonderful. Great approach. Explain, demonstrate, we complete activities. Perfect! (Winter 2014)

 

Program: 
Winter Program 2017
Program where course next likely to be offered: 
Summer Program 2017
Notes: 

The instructor's bound, book length course notes will serve as the course text.